Credit Card Approval EDA

Brought to you by YData

Dataset statistics

Number of variables	20
Number of observations	36,457
Missing cells	11,323
Missing cells (%)	1.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	21.3 MiB
Average record size in memory	612.3 B

Variable types

Numeric	7
Categorical	11
Boolean	2

Alerts

`FLAG_MOBIL` has constant value "1"	Constant
`CNT_CHILDREN` is highly overall correlated with `CNT_FAM_MEMBERS`	High correlation
`CNT_FAM_MEMBERS` is highly overall correlated with `CNT_CHILDREN`	High correlation
`CODE_GENDER` is highly overall correlated with `OCCUPATION_TYPE`	High correlation
`DAYS_EMPLOYED` is highly overall correlated with `NAME_INCOME_TYPE` and 1 other fields	High correlation
`NAME_INCOME_TYPE` is highly overall correlated with `DAYS_EMPLOYED`	High correlation
`OCCUPATION_TYPE` is highly overall correlated with `CODE_GENDER` and 1 other fields	High correlation
`NAME_EDUCATION_TYPE` is highly imbalanced (50.6%)	Imbalance
`NAME_HOUSING_TYPE` is highly imbalanced (73.1%)	Imbalance
`FLAG_EMAIL` is highly imbalanced (56.4%)	Imbalance
`is_high_risk` is highly imbalanced (91.6%)	Imbalance
`OCCUPATION_TYPE` has 11323 (31.1%) missing values	Missing
`ID` has unique values	Unique
`CNT_CHILDREN` has 25201 (69.1%) zeros	Zeros

Reproduction

Analysis started	2025-05-10 10:34:41.840313
Analysis finished	2025-05-10 10:34:50.493082
Duration	8.65 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

ID
Real number (ℝ)

Unique

Distinct	36457
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5078227

Minimum	5008804
Maximum	5150487
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	284.9 KiB

Quantile statistics

Minimum	5008804
5-th percentile	5018456.6
Q1	5042028
median	5074614
Q3	5115396
95-th percentile	5146024.2
Maximum	5150487
Range	141683
Interquartile range (IQR)	73368

Descriptive statistics

Standard deviation	41875.241
Coefficient of variation (CV)	0.0082460356
Kurtosis	-1.2126137
Mean	5078227
Median Absolute Deviation (MAD)	38093
Skewness	0.08624229
Sum	1.8513692 × 10¹¹
Variance	1.7535358 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5008804	1	< 0.1%
5096993	1	< 0.1%
5096983	1	< 0.1%
5096987	1	< 0.1%
5096988	1	< 0.1%
5096990	1	< 0.1%
5096991	1	< 0.1%
5096992	1	< 0.1%
5096994	1	< 0.1%
5096978	1	< 0.1%
Other values (36447)	36447	> 99.9%

Value	Count	Frequency (%)
5008804	1	< 0.1%
5008805	1	< 0.1%
5008806	1	< 0.1%
5008808	1	< 0.1%
5008809	1	< 0.1%
5008810	1	< 0.1%
5008811	1	< 0.1%
5008812	1	< 0.1%
5008813	1	< 0.1%
5008814	1	< 0.1%

Value	Count	Frequency (%)
5150487	1	< 0.1%
5150485	1	< 0.1%
5150484	1	< 0.1%
5150483	1	< 0.1%
5150482	1	< 0.1%
5150481	1	< 0.1%
5150480	1	< 0.1%
5150479	1	< 0.1%
5150478	1	< 0.1%
5150477	1	< 0.1%

CODE_GENDER
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

F	24430
M	12027

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36,457
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	F
5th row	F

Common Values

Value	Count	Frequency (%)
F	24430	67.0%
M	12027	33.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	24430	67.0%
m	12027	33.0%

Most occurring characters

Value	Count	Frequency (%)
F	24430	67.0%
M	12027	33.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	36457	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	24430	67.0%
M	12027	33.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36457	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	24430	67.0%
M	12027	33.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36457	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	24430	67.0%
M	12027	33.0%

FLAG_OWN_CAR
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	35.7 KiB

False	22614
True	13843

Value	Count	Frequency (%)
False	22614	62.0%
True	13843	38.0%

FLAG_OWN_REALTY
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	35.7 KiB

True	24506
False	11951

Value	Count	Frequency (%)
True	24506	67.2%
False	11951	32.8%

CNT_CHILDREN
Real number (ℝ)

High correlation Zeros

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.43031517

Minimum	0
Maximum	19
Zeros	25201
Zeros (%)	69.1%
Negative	0
Negative (%)	0.0%
Memory size	284.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	19
Range	19
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7423669
Coefficient of variation (CV)	1.7251702
Kurtosis	22.562434
Mean	0.43031517
Median Absolute Deviation (MAD)	0
Skewness	2.5693822
Sum	15688
Variance	0.55110862
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	25201	69.1%
1	7492	20.6%
2	3256	8.9%
3	419	1.1%
4	63	0.2%
5	20	0.1%
14	3	< 0.1%
7	2	< 0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
0	25201	69.1%
1	7492	20.6%
2	3256	8.9%
3	419	1.1%
4	63	0.2%
5	20	0.1%
7	2	< 0.1%
14	3	< 0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
19	1	< 0.1%
14	3	< 0.1%
7	2	< 0.1%
5	20	0.1%
4	63	0.2%
3	419	1.1%
2	3256	8.9%
1	7492	20.6%
0	25201	69.1%

AMT_INCOME_TOTAL
Real number (ℝ)

Distinct	265
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	186685.74

Minimum	27000
Maximum	1575000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	284.9 KiB

Quantile statistics

Minimum	27000
5-th percentile	76500
Q1	121500
median	157500
Q3	225000
95-th percentile	360000
Maximum	1575000
Range	1548000
Interquartile range (IQR)	103500

Descriptive statistics

Standard deviation	101789.23
Coefficient of variation (CV)	0.54524373
Kurtosis	17.598084
Mean	186685.74
Median Absolute Deviation (MAD)	45000
Skewness	2.7390099
Sum	6.8060019 × 10⁹
Variance	1.0361047 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
135000	4309	11.8%
180000	3097	8.5%
157500	3089	8.5%
112500	2956	8.1%
225000	2926	8.0%
202500	2192	6.0%
90000	1769	4.9%
270000	1675	4.6%
315000	1001	2.7%
67500	873	2.4%
Other values (255)	12570	34.5%

Value	Count	Frequency (%)
27000	3	< 0.1%
29250	7	< 0.1%
30150	3	< 0.1%
31500	16	< 0.1%
31531.5	3	< 0.1%
31950	1	< 0.1%
32400	5	< 0.1%
33300	10	< 0.1%
33750	1	< 0.1%
36000	5	< 0.1%

Value	Count	Frequency (%)
1575000	8	< 0.1%
1350000	6	< 0.1%
1125000	3	< 0.1%
990000	4	< 0.1%
945000	4	< 0.1%
900000	39	0.1%
810000	15	< 0.1%
787500	5	< 0.1%
765000	9	< 0.1%
742500	5	< 0.1%

NAME_INCOME_TYPE
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

Working	18819
Commercial associate	8490
Pensioner	6152
State servant	2985
Student	11

Length

Max length	20
Median length	7
Mean length	10.856159
Min length	7

Characters and Unicode

Total characters	395,783
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Working
2nd row	Working
3rd row	Working
4th row	Commercial associate
5th row	Commercial associate

Common Values

Value	Count	Frequency (%)
Working	18819	51.6%
Commercial associate	8490	23.3%
Pensioner	6152	16.9%
State servant	2985	8.2%
Student	11	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
working	18819	39.3%
commercial	8490	17.7%
associate	8490	17.7%
pensioner	6152	12.8%
state	2985	6.2%
servant	2985	6.2%
student	11	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
i	41951	10.6%
o	41951	10.6%
r	36446	9.2%
e	35265	8.9%
n	34119	8.6%
a	31440	7.9%
s	26117	6.6%
W	18819	4.8%
k	18819	4.8%
g	18819	4.8%
Other values (11)	92037	23.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	347851	87.9%
Uppercase Letter	36457	9.2%
Space Separator	11475	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	41951	12.1%
o	41951	12.1%
r	36446	10.5%
e	35265	10.1%
n	34119	9.8%
a	31440	9.0%
s	26117	7.5%
k	18819	5.4%
g	18819	5.4%
t	17467	5.0%
Other values (6)	45457	13.1%

Uppercase Letter

Value	Count	Frequency (%)
W	18819	51.6%
C	8490	23.3%
P	6152	16.9%
S	2996	8.2%

Space Separator

Value	Count	Frequency (%)
	11475	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	384308	97.1%
Common	11475	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	41951	10.9%
o	41951	10.9%
r	36446	9.5%
e	35265	9.2%
n	34119	8.9%
a	31440	8.2%
s	26117	6.8%
W	18819	4.9%
k	18819	4.9%
g	18819	4.9%
Other values (10)	80562	21.0%

Common

Value	Count	Frequency (%)
	11475	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	395783	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	41951	10.6%
o	41951	10.6%
r	36446	9.2%
e	35265	8.9%
n	34119	8.6%
a	31440	7.9%
s	26117	6.6%
W	18819	4.8%
k	18819	4.8%
g	18819	4.8%
Other values (11)	92037	23.3%

NAME_EDUCATION_TYPE
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

Secondary / secondary special	24777
Higher education	9864
Incomplete higher	1410
Lower secondary	374
Academic degree	32

Length

Max length	29
Median length	29
Mean length	24.862633
Min length	15

Characters and Unicode

Total characters	906,417
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Higher education
2nd row	Higher education
3rd row	Secondary / secondary special
4th row	Secondary / secondary special
5th row	Secondary / secondary special

Common Values

Value	Count	Frequency (%)
Secondary / secondary special	24777	68.0%
Higher education	9864	27.1%
Incomplete higher	1410	3.9%
Lower secondary	374	1.0%
Academic degree	32	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
secondary	49928	40.8%
	24777	20.2%
special	24777	20.2%
higher	11274	9.2%
education	9864	8.1%
incomplete	1410	1.2%
lower	374	0.3%
academic	32	< 0.1%
degree	32	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	99165	10.9%
c	86043	9.5%
	86011	9.5%
a	84601	9.3%
r	61608	6.8%
o	61576	6.8%
n	61202	6.8%
d	59856	6.6%
y	49928	5.5%
s	49928	5.5%
Other values (15)	206499	22.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	759172	83.8%
Space Separator	86011	9.5%
Uppercase Letter	36457	4.0%
Other Punctuation	24777	2.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	99165	13.1%
c	86043	11.3%
a	84601	11.1%
r	61608	8.1%
o	61576	8.1%
n	61202	8.1%
d	59856	7.9%
y	49928	6.6%
s	49928	6.6%
i	45947	6.1%
Other values (8)	99318	13.1%

Uppercase Letter

Value	Count	Frequency (%)
S	24777	68.0%
H	9864	27.1%
I	1410	3.9%
L	374	1.0%
A	32	0.1%

Space Separator

Value	Count	Frequency (%)
	86011	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	24777	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	795629	87.8%
Common	110788	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	99165	12.5%
c	86043	10.8%
a	84601	10.6%
r	61608	7.7%
o	61576	7.7%
n	61202	7.7%
d	59856	7.5%
y	49928	6.3%
s	49928	6.3%
i	45947	5.8%
Other values (13)	135775	17.1%

Common

Value	Count	Frequency (%)
	86011	77.6%
/	24777	22.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	906417	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	99165	10.9%
c	86043	9.5%
	86011	9.5%
a	84601	9.3%
r	61608	6.8%
o	61576	6.8%
n	61202	6.8%
d	59856	6.6%
y	49928	5.5%
s	49928	5.5%
Other values (15)	206499	22.8%

NAME_FAMILY_STATUS
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

Married	25048
Single / not married	4829
Civil marriage	2945
Separated	2103
Widow	1532

Length

Max length	20
Median length	7
Mean length	9.3187317
Min length	5

Characters and Unicode

Total characters	339,733
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Civil marriage
2nd row	Civil marriage
3rd row	Married
4th row	Single / not married
5th row	Single / not married

Common Values

Value	Count	Frequency (%)
Married	25048	68.7%
Single / not married	4829	13.2%
Civil marriage	2945	8.1%
Separated	2103	5.8%
Widow	1532	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	29877	55.4%
single	4829	9.0%
	4829	9.0%
not	4829	9.0%
civil	2945	5.5%
marriage	2945	5.5%
separated	2103	3.9%
widow	1532	2.8%

Most occurring characters

Value	Count	Frequency (%)
r	67747	19.9%
i	45073	13.3%
e	41857	12.3%
a	39973	11.8%
d	33512	9.9%
M	25048	7.4%
	17432	5.1%
n	9658	2.8%
g	7774	2.3%
l	7774	2.3%
Other values (10)	43885	12.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	281015	82.7%
Uppercase Letter	36457	10.7%
Space Separator	17432	5.1%
Other Punctuation	4829	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	67747	24.1%
i	45073	16.0%
e	41857	14.9%
a	39973	14.2%
d	33512	11.9%
n	9658	3.4%
g	7774	2.8%
l	7774	2.8%
m	7774	2.8%
t	6932	2.5%
Other values (4)	12941	4.6%

Uppercase Letter

Value	Count	Frequency (%)
M	25048	68.7%
S	6932	19.0%
C	2945	8.1%
W	1532	4.2%

Space Separator

Value	Count	Frequency (%)
	17432	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	4829	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	317472	93.4%
Common	22261	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	67747	21.3%
i	45073	14.2%
e	41857	13.2%
a	39973	12.6%
d	33512	10.6%
M	25048	7.9%
n	9658	3.0%
g	7774	2.4%
l	7774	2.4%
m	7774	2.4%
Other values (8)	31282	9.9%

Common

Value	Count	Frequency (%)
	17432	78.3%
/	4829	21.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	339733	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	67747	19.9%
i	45073	13.3%
e	41857	12.3%
a	39973	11.8%
d	33512	9.9%
M	25048	7.4%
	17432	5.1%
n	9658	2.8%
g	7774	2.3%
l	7774	2.3%
Other values (10)	43885	12.9%

NAME_HOUSING_TYPE
Categorical

Imbalance

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

House / apartment	32548
With parents	1776
Municipal apartment	1128
Rented apartment	575
Office apartment	262

Length

Max length	19
Median length	17
Mean length	16.786132
Min length	12

Characters and Unicode

Total characters	611,972
Distinct characters	25
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rented apartment
2nd row	Rented apartment
3rd row	House / apartment
4th row	House / apartment
5th row	House / apartment

Common Values

Value	Count	Frequency (%)
House / apartment	32548	89.3%
With parents	1776	4.9%
Municipal apartment	1128	3.1%
Rented apartment	575	1.6%
Office apartment	262	0.7%
Co-op apartment	168	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
apartment	34681	32.9%
house	32548	30.9%
	32548	30.9%
with	1776	1.7%
parents	1776	1.7%
municipal	1128	1.1%
rented	575	0.5%
office	262	0.2%
co-op	168	0.2%

Most occurring characters

Value	Count	Frequency (%)
t	73489	12.0%
a	72266	11.8%
e	70417	11.5%
	69005	11.3%
n	38160	6.2%
p	37753	6.2%
r	36457	6.0%
m	34681	5.7%
s	34324	5.6%
u	33676	5.5%
Other values (15)	111744	18.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	473794	77.4%
Space Separator	69005	11.3%
Uppercase Letter	36457	6.0%
Other Punctuation	32548	5.3%
Dash Punctuation	168	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	73489	15.5%
a	72266	15.3%
e	70417	14.9%
n	38160	8.1%
p	37753	8.0%
r	36457	7.7%
m	34681	7.3%
s	34324	7.2%
u	33676	7.1%
o	32884	6.9%
Other values (6)	9687	2.0%

Uppercase Letter

Value	Count	Frequency (%)
H	32548	89.3%
W	1776	4.9%
M	1128	3.1%
R	575	1.6%
O	262	0.7%
C	168	0.5%

Space Separator

Value	Count	Frequency (%)
	69005	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	32548	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	510251	83.4%
Common	101721	16.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	73489	14.4%
a	72266	14.2%
e	70417	13.8%
n	38160	7.5%
p	37753	7.4%
r	36457	7.1%
m	34681	6.8%
s	34324	6.7%
u	33676	6.6%
o	32884	6.4%
Other values (12)	46144	9.0%

Common

Value	Count	Frequency (%)
	69005	67.8%
/	32548	32.0%
-	168	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	611972	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	73489	12.0%
a	72266	11.8%
e	70417	11.5%
	69005	11.3%
n	38160	6.2%
p	37753	6.2%
r	36457	6.0%
m	34681	5.7%
s	34324	5.6%
u	33676	5.5%
Other values (15)	111744	18.3%

DAYS_BIRTH
Real number (ℝ)

Distinct	7183
Distinct (%)	19.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-15975.173

Minimum	-25152
Maximum	-7489
Zeros	0
Zeros (%)	0.0%
Negative	36457
Negative (%)	100.0%
Memory size	284.9 KiB

Quantile statistics

Minimum	-25152
5-th percentile	-23019
Q1	-19438
median	-15563
Q3	-12462
95-th percentile	-9874
Maximum	-7489
Range	17663
Interquartile range (IQR)	6976

Descriptive statistics

Standard deviation	4200.5499
Coefficient of variation (CV)	-0.26294237
Kurtosis	-1.0456436
Mean	-15975.173
Median Absolute Deviation (MAD)	3425
Skewness	-0.18422965
Sum	-5.824069 × 10⁸
Variance	17644620
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-12676	54	0.1%
-15519	54	0.1%
-16896	38	0.1%
-14667	37	0.1%
-15140	32	0.1%
-16768	32	0.1%
-15675	32	0.1%
-14136	30	0.1%
-13788	30	0.1%
-10182	29	0.1%
Other values (7173)	36089	99.0%

Value	Count	Frequency (%)
-25152	2	< 0.1%
-25140	3	< 0.1%
-25099	1	< 0.1%
-25088	1	< 0.1%
-25010	2	< 0.1%
-24970	2	< 0.1%
-24963	1	< 0.1%
-24946	3	< 0.1%
-24932	4	< 0.1%
-24914	3	< 0.1%

Value	Count	Frequency (%)
-7489	1	< 0.1%
-7705	1	< 0.1%
-7723	2	< 0.1%
-7757	4	< 0.1%
-7959	2	< 0.1%
-7980	1	< 0.1%
-8041	4	< 0.1%
-8054	1	< 0.1%
-8056	2	< 0.1%
-8067	1	< 0.1%

DAYS_EMPLOYED
Real number (ℝ)

High correlation

Distinct	3640
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59262.936

Minimum	-15713
Maximum	365243
Zeros	0
Zeros (%)	0.0%
Negative	30322
Negative (%)	83.2%
Memory size	284.9 KiB

Quantile statistics

Minimum	-15713
5-th percentile	-7205
Q1	-3153
median	-1552
Q3	-408
95-th percentile	365243
Maximum	365243
Range	380956
Interquartile range (IQR)	2745

Descriptive statistics

Standard deviation	137651.33
Coefficient of variation (CV)	2.3227222
Kurtosis	1.1433987
Mean	59262.936
Median Absolute Deviation (MAD)	1309
Skewness	1.7724432
Sum	2.1605488 × 10⁹
Variance	1.894789 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
365243	6135	16.8%
-401	78	0.2%
-1539	64	0.2%
-200	63	0.2%
-1678	61	0.2%
-2087	61	0.2%
-2531	56	0.2%
-460	54	0.1%
-1160	53	0.1%
-2057	52	0.1%
Other values (3630)	29780	81.7%

Value	Count	Frequency (%)
-15713	1	< 0.1%
-15661	4	< 0.1%
-15227	1	< 0.1%
-15072	3	< 0.1%
-15038	16	< 0.1%
-14887	6	< 0.1%
-14810	8	< 0.1%
-14775	2	< 0.1%
-14536	4	< 0.1%
-14473	6	< 0.1%

Value	Count	Frequency (%)
365243	6135	16.8%
-17	3	< 0.1%
-43	1	< 0.1%
-65	2	< 0.1%
-66	1	< 0.1%
-70	4	< 0.1%
-71	1	< 0.1%
-73	17	< 0.1%
-78	1	< 0.1%
-79	1	< 0.1%

FLAG_MOBIL
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

1	36457

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36,457
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	36457	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	36457	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	36457	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36457	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	36457	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	36457	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	36457	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36457	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	36457	100.0%

FLAG_WORK_PHONE
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

0	28235
1	8222

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36,457
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	28235	77.4%
1	8222	22.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	28235	77.4%
1	8222	22.6%

Most occurring characters

Value	Count	Frequency (%)
0	28235	77.4%
1	8222	22.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36457	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28235	77.4%
1	8222	22.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	36457	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28235	77.4%
1	8222	22.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36457	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28235	77.4%
1	8222	22.6%

FLAG_PHONE
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

0	25709
1	10748

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36,457
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	25709	70.5%
1	10748	29.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	25709	70.5%
1	10748	29.5%

Most occurring characters

Value	Count	Frequency (%)
0	25709	70.5%
1	10748	29.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36457	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	25709	70.5%
1	10748	29.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	36457	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	25709	70.5%
1	10748	29.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36457	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	25709	70.5%
1	10748	29.5%

FLAG_EMAIL
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

0	33186
1	3271

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36,457
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	33186	91.0%
1	3271	9.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	33186	91.0%
1	3271	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	33186	91.0%
1	3271	9.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36457	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33186	91.0%
1	3271	9.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	36457	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33186	91.0%
1	3271	9.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36457	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33186	91.0%
1	3271	9.0%

OCCUPATION_TYPE
Categorical

High correlation Missing

Distinct	18
Distinct (%)	0.1%
Missing	11323
Missing (%)	31.1%
Memory size	2.3 MiB

Laborers	6211
Core staff	3591
Sales staff	3485
Managers	3012
Drivers	2138
Other values (13)	6697

Length

Max length	21
Median length	20
Mean length	10.535768
Min length	7

Characters and Unicode

Total characters	264,806
Distinct characters	36
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Security staff
2nd row	Sales staff
3rd row	Sales staff
4th row	Sales staff
5th row	Sales staff

Common Values

Value	Count	Frequency (%)
Laborers	6211	17.0%
Core staff	3591	9.8%
Sales staff	3485	9.6%
Managers	3012	8.3%
Drivers	2138	5.9%
High skill tech staff	1383	3.8%
Accountants	1241	3.4%
Medicine staff	1207	3.3%
Cooking staff	655	1.8%
Security staff	592	1.6%
Other values (8)	1619	4.4%
(Missing)	11323	31.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
staff	12127	29.9%
laborers	6386	15.7%
core	3591	8.8%
sales	3485	8.6%
managers	3012	7.4%
drivers	2138	5.3%
high	1383	3.4%
skill	1383	3.4%
tech	1383	3.4%
accountants	1241	3.1%
Other values (13)	4496	11.1%

Most occurring characters

Value	Count	Frequency (%)
a	30815	11.6%
s	30695	11.6%
r	25581	9.7%
e	25543	9.6%
f	24254	9.2%
t	17411	6.6%
	15491	5.8%
o	12703	4.8%
i	10304	3.9%
n	8711	3.3%
Other values (26)	63298	23.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	223512	84.4%
Uppercase Letter	25454	9.6%
Space Separator	15491	5.8%
Dash Punctuation	175	0.1%
Other Punctuation	174	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	30815	13.8%
s	30695	13.7%
r	25581	11.4%
e	25543	11.4%
f	24254	10.9%
t	17411	7.8%
o	12703	5.7%
i	10304	4.6%
n	8711	3.9%
l	7231	3.2%
Other values (11)	30264	13.5%

Uppercase Letter

Value	Count	Frequency (%)
L	6561	25.8%
C	4797	18.8%
S	4228	16.6%
M	4219	16.6%
D	2138	8.4%
H	1468	5.8%
A	1241	4.9%
P	344	1.4%
W	174	0.7%
R	164	0.6%
Other values (2)	120	0.5%

Space Separator

Value	Count	Frequency (%)
	15491	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	175	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	174	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	248966	94.0%
Common	15840	6.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	30815	12.4%
s	30695	12.3%
r	25581	10.3%
e	25543	10.3%
f	24254	9.7%
t	17411	7.0%
o	12703	5.1%
i	10304	4.1%
n	8711	3.5%
l	7231	2.9%
Other values (23)	55718	22.4%

Common

Value	Count	Frequency (%)
	15491	97.8%
-	175	1.1%
/	174	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	264806	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	30815	11.6%
s	30695	11.6%
r	25581	9.7%
e	25543	9.6%
f	24254	9.2%
t	17411	6.6%
	15491	5.8%
o	12703	4.8%
i	10304	3.9%
n	8711	3.3%
Other values (26)	63298	23.9%

CNT_FAM_MEMBERS
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.198453

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	284.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	20
Range	19
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.91168614
Coefficient of variation (CV)	0.4146944
Kurtosis	8.1886954
Mean	2.198453
Median Absolute Deviation (MAD)	0
Skewness	1.2985959
Sum	80149
Variance	0.83117162
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	19463	53.4%
1	6987	19.2%
3	6421	17.6%
4	3106	8.5%
5	397	1.1%
6	58	0.2%
7	19	0.1%
15	3	< 0.1%
9	2	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
1	6987	19.2%
2	19463	53.4%
3	6421	17.6%
4	3106	8.5%
5	397	1.1%
6	58	0.2%
7	19	0.1%
9	2	< 0.1%
15	3	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
20	1	< 0.1%
15	3	< 0.1%
9	2	< 0.1%
7	19	0.1%
6	58	0.2%
5	397	1.1%
4	3106	8.5%
3	6421	17.6%
2	19463	53.4%
1	6987	19.2%

account_age_months
Real number (ℝ)

Distinct	61
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.164193

Minimum	0
Maximum	60
Zeros	315
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	284.9 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	12
median	24
Q3	39
95-th percentile	55
Maximum	60
Range	60
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	16.501854
Coefficient of variation (CV)	0.63070373
Kurtosis	-1.0377619
Mean	26.164193
Median Absolute Deviation (MAD)	14
Skewness	0.28639457
Sum	953868
Variance	272.3112
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	889	2.4%
11	828	2.3%
6	824	2.3%
8	820	2.2%
5	816	2.2%
17	807	2.2%
3	800	2.2%
10	798	2.2%
16	785	2.2%
15	774	2.1%
Other values (51)	28316	77.7%

Value	Count	Frequency (%)
0	315	0.9%
1	551	1.5%
2	643	1.8%
3	800	2.2%
4	765	2.1%
5	816	2.2%
6	824	2.3%
7	889	2.4%
8	820	2.2%
9	770	2.1%

Value	Count	Frequency (%)
60	321	0.9%
59	307	0.8%
58	333	0.9%
57	304	0.8%
56	345	0.9%
55	368	1.0%
54	358	1.0%
53	377	1.0%
52	463	1.3%
51	476	1.3%

is_high_risk
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

0	36075
1	382

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36,457
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	36075	99.0%
1	382	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	36075	99.0%
1	382	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	36075	99.0%
1	382	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36457	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	36075	99.0%
1	382	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	36457	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	36075	99.0%
1	382	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36457	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	36075	99.0%
1	382	1.0%

	AMT_INCOME_TOTAL	CNT_CHILDREN	CNT_FAM_MEMBERS	CODE_GENDER	DAYS_BIRTH	DAYS_EMPLOYED	FLAG_EMAIL	FLAG_OWN_CAR	FLAG_OWN_REALTY	FLAG_PHONE	FLAG_WORK_PHONE	ID	NAME_EDUCATION_TYPE	NAME_FAMILY_STATUS	NAME_HOUSING_TYPE	NAME_INCOME_TYPE	OCCUPATION_TYPE	account_age_months	is_high_risk
AMT_INCOME_TOTAL	1.000	0.044	0.022	0.201	0.095	-0.163	0.086	0.205	0.041	0.047	0.040	-0.021	0.109	0.033	0.054	0.098	0.112	0.028	0.000
CNT_CHILDREN	0.044	1.000	0.826	0.063	0.380	-0.143	0.007	0.086	0.007	0.019	0.055	0.029	0.017	0.077	0.032	0.071	0.055	0.005	0.000
CNT_FAM_MEMBERS	0.022	0.826	1.000	0.104	0.306	-0.147	0.030	0.118	0.019	0.023	0.055	0.027	0.031	0.154	0.066	0.120	0.057	0.026	0.000
CODE_GENDER	0.201	0.063	0.104	1.000	0.210	0.175	0.000	0.361	0.050	0.026	0.065	0.050	0.020	0.161	0.087	0.191	0.557	0.018	0.012
DAYS_BIRTH	0.095	0.380	0.306	0.210	1.000	-0.209	0.110	0.168	0.134	0.066	0.197	0.056	0.126	0.166	0.113	0.377	0.098	-0.053	0.003
DAYS_EMPLOYED	-0.163	-0.143	-0.147	0.175	-0.209	1.000	0.086	0.157	0.093	0.004	0.243	-0.008	0.149	0.210	0.114	0.998	1.000	-0.080	0.002
FLAG_EMAIL	0.086	0.007	0.030	0.000	0.110	0.086	1.000	0.021	0.052	0.009	0.034	0.164	0.100	0.031	0.029	0.110	0.091	0.013	0.016
FLAG_OWN_CAR	0.205	0.086	0.118	0.361	0.168	0.157	0.021	1.000	0.014	0.013	0.021	0.061	0.103	0.155	0.041	0.162	0.274	0.041	0.000
FLAG_OWN_REALTY	0.041	0.007	0.019	0.050	0.134	0.093	0.052	0.014	1.000	0.066	0.208	0.185	0.041	0.031	0.207	0.095	0.052	0.012	0.001
FLAG_PHONE	0.047	0.019	0.023	0.026	0.066	0.004	0.009	0.013	0.066	1.000	0.312	0.063	0.054	0.044	0.038	0.010	0.070	0.016	0.000
FLAG_WORK_PHONE	0.040	0.055	0.055	0.065	0.197	0.243	0.034	0.021	0.208	0.312	1.000	0.121	0.048	0.064	0.036	0.257	0.062	0.022	0.004
ID	-0.021	0.029	0.027	0.050	0.056	-0.008	0.164	0.061	0.185	0.063	0.121	1.000	0.042	0.043	0.033	0.047	0.067	-0.001	0.016
NAME_EDUCATION_TYPE	0.109	0.017	0.031	0.020	0.126	0.149	0.100	0.103	0.041	0.054	0.048	0.042	1.000	0.045	0.052	0.100	0.206	0.014	0.006
NAME_FAMILY_STATUS	0.033	0.077	0.154	0.161	0.166	0.210	0.031	0.155	0.031	0.044	0.064	0.043	0.045	1.000	0.056	0.108	0.105	0.030	0.001
NAME_HOUSING_TYPE	0.054	0.032	0.066	0.087	0.113	0.114	0.029	0.041	0.207	0.038	0.036	0.033	0.052	0.056	1.000	0.062	0.071	0.014	0.000
NAME_INCOME_TYPE	0.098	0.071	0.120	0.191	0.377	0.998	0.110	0.162	0.095	0.010	0.257	0.047	0.100	0.108	0.062	1.000	0.180	0.013	0.010
OCCUPATION_TYPE	0.112	0.055	0.057	0.557	0.098	1.000	0.091	0.274	0.052	0.070	0.062	0.067	0.206	0.105	0.071	0.180	1.000	0.024	0.042
account_age_months	0.028	0.005	0.026	0.018	-0.053	-0.080	0.013	0.041	0.012	0.016	0.022	-0.001	0.014	0.030	0.014	0.013	0.024	1.000	0.063
is_high_risk	0.000	0.000	0.000	0.012	0.003	0.002	0.016	0.000	0.001	0.000	0.004	0.016	0.006	0.001	0.000	0.010	0.042	0.063	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	ID	CODE_GENDER	FLAG_OWN_CAR	FLAG_OWN_REALTY	AMT_INCOME_TOTAL	NAME_INCOME_TYPE	NAME_EDUCATION_TYPE	NAME_FAMILY_STATUS	NAME_HOUSING_TYPE	DAYS_BIRTH	DAYS_EMPLOYED	FLAG_MOBIL	FLAG_WORK_PHONE	FLAG_PHONE	FLAG_EMAIL	OCCUPATION_TYPE	CNT_FAM_MEMBERS	account_age_months
0	5008804	M	Y	Y	427500.0	Working	Higher education	Civil marriage	Rented apartment	-12005	-4542	1	1	0	0	NaN	2.0	15
1	5008805	M	Y	Y	427500.0	Working	Higher education	Civil marriage	Rented apartment	-12005	-4542	1	1	0	0	NaN	2.0	14
2	5008806	M	Y	Y	112500.0	Working	Secondary / secondary special	Married	House / apartment	-21474	-1134	1	0	0	0	Security staff	2.0	29
3	5008808	F	N	Y	270000.0	Commercial associate	Secondary / secondary special	Single / not married	House / apartment	-19110	-3051	1	0	1	1	Sales staff	1.0	4
4	5008809	F	N	Y	270000.0	Commercial associate	Secondary / secondary special	Single / not married	House / apartment	-19110	-3051	1	0	1	1	Sales staff	1.0	26
5	5008810	F	N	Y	270000.0	Commercial associate	Secondary / secondary special	Single / not married	House / apartment	-19110	-3051	1	0	1	1	Sales staff	1.0	26
6	5008811	F	N	Y	270000.0	Commercial associate	Secondary / secondary special	Single / not married	House / apartment	-19110	-3051	1	0	1	1	Sales staff	1.0	38
7	5008812	F	N	Y	283500.0	Pensioner	Higher education	Separated	House / apartment	-22464	365243	1	0	0	0	NaN	1.0	20
8	5008813	F	N	Y	283500.0	Pensioner	Higher education	Separated	House / apartment	-22464	365243	1	0	0	0	NaN	1.0	16
9	5008814	F	N	Y	283500.0	Pensioner	Higher education	Separated	House / apartment	-22464	365243	1	0	0	0	NaN	1.0	17

	ID	CODE_GENDER	FLAG_OWN_CAR	FLAG_OWN_REALTY	CNT_CHILDREN	AMT_INCOME_TOTAL	NAME_INCOME_TYPE	NAME_EDUCATION_TYPE	NAME_FAMILY_STATUS	NAME_HOUSING_TYPE	DAYS_BIRTH	DAYS_EMPLOYED	FLAG_MOBIL	FLAG_WORK_PHONE	FLAG_PHONE	FLAG_EMAIL	OCCUPATION_TYPE	CNT_FAM_MEMBERS	account_age_months	is_high_risk
36447	5149145	M	Y	Y	0	247500.0	Working	Secondary / secondary special	Married	House / apartment	-10952	-3577	1	1	0	0	Laborers	2.0	25	0
36448	5149158	M	Y	Y	0	247500.0	Working	Secondary / secondary special	Married	House / apartment	-10952	-3577	1	1	0	0	Laborers	2.0	28	0
36449	5149190	M	Y	N	1	450000.0	Working	Higher education	Married	House / apartment	-9847	-502	1	0	1	1	Core staff	3.0	11	1
36450	5149729	M	Y	Y	0	90000.0	Working	Secondary / secondary special	Married	House / apartment	-19101	-1721	1	0	0	0	NaN	2.0	21	0
36451	5149775	F	Y	Y	0	130500.0	Working	Secondary / secondary special	Married	House / apartment	-16137	-9391	1	0	1	0	Laborers	2.0	19	0
36452	5149828	M	Y	Y	0	315000.0	Working	Secondary / secondary special	Married	House / apartment	-17348	-2420	1	0	0	0	Managers	2.0	11	1
36453	5149834	F	N	Y	0	157500.0	Commercial associate	Higher education	Married	House / apartment	-12387	-1325	1	0	1	1	Medicine staff	2.0	23	0
36454	5149838	F	N	Y	0	157500.0	Pensioner	Higher education	Married	House / apartment	-12387	-1325	1	0	1	1	Medicine staff	2.0	32	0
36455	5150049	F	N	Y	0	283500.0	Working	Secondary / secondary special	Married	House / apartment	-17958	-655	1	0	0	0	Sales staff	2.0	9	1
36456	5150337	M	N	Y	0	112500.0	Working	Secondary / secondary special	Single / not married	Rented apartment	-9188	-1193	1	0	0	0	Laborers	1.0	13	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common